title: GoSynthetic database tool to analyse natural and engineered molecular processes.
abstract: An essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on processes and functions are still cumbersome. The database tool GoSynthetic provides a new, simple and fast way to analyse biological processes applying a hierarchical database. Four different search modes are implemented. Furthermore, protein interaction data, cross-links to organism-specific databases (17 organisms including six model organisms and their interactions), COG/KOG, GO and IntAct are warehoused. The built in connection to technical and engineering terms enables a simple switching between biological concepts and concepts from engineering, electronics and synthetic biology. The current version of GoSynthetic covers more than one million processes, proteins, COGs and GOs. It is illustrated by various application examples probing process differences and designing modifications. Database URL: http://gosyn.bioapps.biozentrum.uni-wuerzburg.de.
authors.affiliation: Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany.
authors.forename: Chunguang
authors.initials: C
authors.lastname: Liang
authors.forename: Beate
authors.initials: B
authors.lastname: Krüger
authors.forename: Thomas
authors.initials: T
authors.lastname: Dandekar
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D019992:Databases as Topic; D006019:Glycolysis; D013006:Growth Hormone / Q000378:metabolism; D060847:Metabolic Engineering; D051379:Mice; D015202:Protein Engineering; D057386:Search Engine; D015398:Signal Transduction; D012984:Software; D058615:Synthetic Biology; D014584:User-Computer Interface
chemical_list: D013006:Growth Hormone